See what changes when AI meets your workflows
The average Mitori audit identifies 40–60% cost reduction opportunities — across any department, in any industry. Here's what that looks like in practice.
Accounts Receivable: from 2 hours active processing per invoice to 23 minutes
Mitori observed a 12-person AR team spending 70% of their time on manual data entry, approval chasing, and exception handling. Active processing totals ~120 min per invoice (excluding approval wait times of 2–4 hrs). The audit identified 5 of 6 core process steps as candidates for AI agent deployment.
Invoice received (email/post)
Manual data entry into ERP
Approval routing (email chains)
Exception handling
Payment matching
Posting & reconciliation
Current Process
Invoice received (email/post)
Manual data entry into ERP
Approval routing (email chains)
Exception handling
Payment matching
Posting & reconciliation
AI-Augmented Process
Invoice auto-extracted
AI data extraction + validation
Smart routing + AI escalation
AI exception triage
Auto-matching
Auto-posting + human review
Team size
12
→ 4 + 5 agents
Time / invoice
2h 20m
→ 23 min
Annual cost
$1.08M
→ $420K
Annual savings
$660K
→ 61% reduction
What your AR team looks like after the audit
Humans handle judgement and relationships. AI agents handle volume and repetition.
Before — 12 FTEs
All manualAfter — 4 FTEs + 5 AI Agents
67% fewer rolesEvery department. One audit.
Mitori audits any department with human workflows — finance, operations, legal, support, and beyond. Here are eight we see most often.
Total projected impact across one organisation
86→ 34
Staff headcount
34
AI agents deployed
$4.20M
Annual savings
5 mo
Avg. payback
Illustrative projections based on published benchmarks (McKinsey, Forrester, Billtrust, ISG) adjusted for GenAI capability acceleration. Actual results vary by organisation.
Department-by-department breakdown
Top process identified: Invoice processing and reconciliation
Mitori observed 12 FTEs with an annual cost of $1,080,000. After analysis, 5 AI agents can replace 8 positions, reducing the team to 4 FTEs at $420,000/year.
Projected savings: $660K/year (61% reduction) with a 5-month payback period.
Published research shows 40–46% cost reduction in AR automation (Billtrust, HighRadius). Adjusted ×1.5 for GenAI acceleration. After-state costs include AI agent operating costs.
Top process identified: Ticket triage and L1 resolution
Mitori observed 20 FTEs with an annual cost of $1,400,000. After analysis, 7 AI agents can replace 12 positions, reducing the team to 8 FTEs at $630,000/year.
Projected savings: $770K/year (55% reduction) with a 4-month payback period.
Published research shows 30–40% cost reduction in customer service (ISG, Forrester). Adjusted ×1.5 for GenAI acceleration.
Top process identified: Vendor onboarding and PO matching
Mitori observed 10 FTEs with an annual cost of $900,000. After analysis, 4 AI agents can replace 6 positions, reducing the team to 4 FTEs at $380,000/year.
Projected savings: $520K/year (58% reduction) with a 5-month payback period.
Published research shows 40–50% efficiency gains in procurement (McKinsey, Codiste). Adjusted ×1.5 for GenAI acceleration.
Top process identified: Onboarding and compliance workflows
Mitori observed 8 FTEs with an annual cost of $720,000. After analysis, 3 AI agents can replace 5 positions, reducing the team to 3 FTEs at $320,000/year.
Projected savings: $400K/year (56% reduction) with a 6-month payback period.
Published research shows 40–50% admin workload reduction in HR (Master of Code, Forrester). Adjusted ×1.5 for GenAI acceleration.
Top process identified: CRM entry and pipeline reporting
Mitori observed 6 FTEs with an annual cost of $600,000. After analysis, 2 AI agents can replace 3 positions, reducing the team to 3 FTEs at $300,000/year.
Projected savings: $300K/year (50% reduction) with a 7-month payback period.
Published research shows 25–35% efficiency gains in sales operations (McKinsey). Adjusted ×1.6 for GenAI acceleration.
Top process identified: Contract routing and regulatory filing
Mitori observed 5 FTEs with an annual cost of $650,000. After analysis, 2 AI agents can replace 2 positions, reducing the team to 3 FTEs at $390,000/year.
Projected savings: $260K/year (40% reduction) with a 9-month payback period.
Published research shows 25–35% efficiency gains in legal operations (McKinsey). Adjusted ×1.5 for GenAI acceleration.
Top process identified: Multi-channel collections outreach and escalation
Mitori observed 10 FTEs with an annual cost of $900,000. After analysis, 5 AI agents can replace 7 positions, reducing the team to 3 FTEs at $315,000/year.
Projected savings: $585K/year (65% reduction) with a 3-month payback period.
Based on real client results: 3X collections recovery rate, 50% staff reduction achieved. Projections adjusted for GenAI voice and messaging capabilities through 2026–2028.
Top process identified: Incident management and change request routing
Mitori observed 15 FTEs with an annual cost of $1,350,000. After analysis, 6 AI agents can replace 9 positions, reducing the team to 6 FTEs at $650,000/year.
Projected savings: $700K/year (52% reduction) with a 5-month payback period.
Published research shows 35–45% efficiency gains in IT operations (McKinsey, Gartner). Adjusted ×1.5 for GenAI acceleration including AIOps and intelligent automation.
Ready to see what your audit would reveal?
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